code: def test_get_best_model_from_results_df():
      nixtla_df = AirPassengersDF.copy()
      nixtla_df["AutoARIMA"] = nixtla_df["y"] + 1
      nixtla_df["AutoCES"] = nixtla_df["y"]
      nixtla_df["AutoBadModel"] = nixtla_df["y"] - 2
  
      assert get_best_model_from_results_df(nixtla_df) == "AutoCES"
  
file_path: mindsdb/tests/unit/ml_handlers/test_time_series_utils.py
imports: import pandas
  from statsforecast.utils import AirPassengersDF
  from mindsdb.integrations.utilities.time_series_utils import transform_to_nixtla_df, get_results_from_nixtla_df, infer_frequency, get_best_model_from_results_df, spec_hierarchy_from_list, get_hierarchy_from_df, reconcile_forecasts
label_desc: Use image node_id 4 for calling a global function with example usage: test_get_best_model_from_results_df() without return types